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- Tasks: Join our Quantitative Risk Graduate Scheme and tackle real-world energy market challenges.
- Company: E.ON, a leading international energy company focused on innovation.
- Benefits: Starting salary of £34,000, 26 days holiday, and flexible benefits.
- Why this job: Gain hands-on experience in energy markets while developing your skills.
- Qualifications: 2:2 Bachelor's Degree in a statistics-based discipline and proficiency in Python, Matlab, or C++.
- Other info: Dynamic placements with full support from mentors and career managers.
The predicted salary is between 34000 - 34000 £ per year.
We\’re looking for a graduate to join our Quantitative Risk Graduate Scheme for September 2026!
E.ON Graduate Scheme 2026 – Quantitative Risk
Here\’s what you\’ll be doing
A graduate programme allows you to put some of your academic learning into practice, get into the detail of the industry and develop as a person.
During your two-year programme as a Quantitative Risk graduate, you will complete three placements in different areas of Energy Markets. With each eight-month placement, you will be involved in the day-to-day activities of the role as well as responsible for specific projects to ensure we remain a market leading function. While your first placement will be in Export, Structuring and Analysis, you are able to pick the remaining two with at least one of these needing to have a quant focus, in market analysis, volume forecasting or as a trading analyst.
Throughout your time on the programme, you will be fully supported at E.ON by the Energy Markets team, your career manager, mentor, placement manager and a dedicated buddy who has recently joined Energy Markets as well.
What we need from you
- Have (or be expecting)a 2:2Bachelor’sDegreein a statistics-based discipline
- A willingness to learn and the motivation to succeed
- Excellent problem-solving skills
- Proficiency in Python, Matlab or C++
- Avaliable on the 14th January 2026 for an assessment centre at our Solihull office.
Here’s what you need to know
This role is based in our Solihull office (B91 3ES ) with a combination of office and homeworking depending on the placement.
A starting salary of £34,000 with annual bonus.
We have a market leading benefits package – it includes 26 days holiday plus eight bank holidays, a generous pension scheme, and the chance to choose from 20 flexible benefits,including the option to buy up to 2 weeks extra holiday.
The assessment centre for the Graduate Scheme will be taking place in our Solihull office(B91 3ES ) on 14th January 2026.
At a glance
Get in touch
For more information please contact earlycareers@eonenergy.com
About us
E.ON is a privately owned international energy company. Our 75,000 colleagues in 15 countries work daily towards the improvement of technical innovations and user-friendly customer solutions for the new energy world. We are the first large energy company to focus more heavily upon the energy of the future through our three business areas of energy networks, renewable energies and customer solutions.
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E.ON Graduate Scheme - Quantitative Risk E.ON UK PLC employer: E.ON Gruppe
Contact Detail:
E.ON Gruppe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land E.ON Graduate Scheme - Quantitative Risk E.ON UK PLC
✨Tip Number 1
Get to know E.ON and the energy sector inside out! Research their recent projects, values, and culture. This will help you tailor your conversations during interviews and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Practice your problem-solving skills with real-world scenarios. Since this role requires excellent analytical abilities, try tackling some case studies or quantitative problems related to energy markets. It’ll give you a leg up during assessments!
✨Tip Number 3
Network like a pro! Connect with current E.ON employees on LinkedIn or attend industry events. Engaging with people in the field can provide insider tips and might even lead to referrals, which can be super helpful in landing that interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining E.ON and ready to take that next step in your career.
We think you need these skills to ace E.ON Graduate Scheme - Quantitative Risk E.ON UK PLC
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Risk role. Highlight relevant skills like problem-solving and your proficiency in Python, Matlab, or C++. We want to see how your academic background aligns with what we do at E.ON!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your enthusiasm for the role and the company. Share specific examples of your experiences that demonstrate your willingness to learn and motivation to succeed.
Showcase Your Projects: If you've worked on any projects related to statistics or energy markets, make sure to mention them! We love seeing practical applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s straightforward and ensures your application goes directly to us. Plus, you’ll find all the info you need about the Graduate Scheme there!
How to prepare for a job interview at E.ON Gruppe
✨Know Your Numbers
Brush up on your statistics and quantitative analysis skills. Since this role is all about numbers, be prepared to discuss how you've applied these skills in your studies or any relevant projects. Show them you can think critically about data!
✨Master the Tech
Make sure you're comfortable with Python, Matlab, or C++. Be ready to talk about any projects where you've used these programming languages. If possible, prepare a small example or two to demonstrate your proficiency during the interview.
✨Understand E.ON's Vision
Do your homework on E.ON and their focus on renewable energies and customer solutions. Being able to articulate why you're excited about their mission will show your genuine interest in the company and the role.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that test your problem-solving abilities. Think of examples from your academic experience where you had to analyse data or make decisions based on quantitative information. Practice articulating your thought process clearly.